Finding investment opportunities faster using AI

Private equity (PE) firms face the challenge of finding rare investment opportunities amidst an abundance of market noise. Typically, only 1% of companies move from pre due diligence to successful deal closure in a given year. Our PE client wanted a solution to help them source high-quality leads and minimise the time to investment. 

We aggregated data from various public and proprietary sources, creating a model that could separate the wheat from the chaff. Our machine learning based approach highlights the companies most likely to transact, with explanations why and predictions for the future.

Using this new solution, analysts can identify companies likely to transact 12-36 months before any public announcement. This improves their negotiating position, enhances their access to proprietary deals and enables them to secure a competitive advantage in the market.